% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Sun Jul 16 13:46:35 2017
% Created by run_task()
@RELATION openml_task_9985_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE confidence.2 NUMERIC
@ATTRIBUTE confidence.3 NUMERIC
@ATTRIBUTE confidence.4 NUMERIC
@ATTRIBUTE confidence.5 NUMERIC
@ATTRIBUTE confidence.6 NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4, 5, 6}
@ATTRIBUTE correct {1, 2, 3, 4, 5, 6}

@DATA
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0,9,0,3670,0.167286370565,0.166370353148,0.166796759293,0.166233957498,0.166345735736,0.166966823759,6,2
0,9,0,4827,0.167103783537,0.16671436024,0.167679305836,0.166214042888,0.165309468051,0.166979039447,3,2
0,9,0,934,0.167298822486,0.167006989964,0.167069136744,0.165931676664,0.165017049036,0.167676325106,6,2
0,9,0,4096,0.167084233817,0.166398438978,0.166487824326,0.166416268103,0.165606141626,0.168007093151,6,2
0,9,0,2543,0.166970172877,0.166205706026,0.166657987527,0.166357055097,0.166843290882,0.16696578759,6,2
0,9,0,1668,0.167146817753,0.166467288322,0.166871515739,0.166185438332,0.166128827647,0.167200112207,6,2
0,9,0,3212,0.167100500945,0.166143377258,0.166489614341,0.166446498332,0.166577242832,0.16724276629,1,2
0,9,0,1095,0.167516507578,0.166431083709,0.166812042062,0.165963445912,0.165620430273,0.167656490467,6,2
0,9,0,120,0.167015063784,0.166483811295,0.166871790431,0.16621499931,0.16612825302,0.167286082161,6,2
0,9,0,644,0.167136328529,0.166542074416,0.166813422466,0.166077889909,0.166449168033,0.166981116647,6,2
0,9,0,224,0.16741688688,0.166435272602,0.16682309178,0.165953736555,0.165499249385,0.167871762797,6,2
0,9,0,3509,0.166596597191,0.166877447382,0.16630930681,0.16614532978,0.16536387779,0.168707441048,6,2
0,9,0,4831,0.16688222748,0.166193949058,0.166842579617,0.166197188966,0.166303822374,0.167580232505,6,2
0,9,0,5186,0.167041911746,0.166896762748,0.167594926406,0.166034815064,0.165390744103,0.167040839932,3,2
0,9,0,5518,0.1682563576,0.16795727513,0.169021031686,0.16582324532,0.16453174365,0.164410346613,3,2
0,9,0,3784,0.170331796093,0.164683677717,0.164437955528,0.169510702718,0.164457268941,0.166578599004,1,2
0,9,0,5023,0.167164853626,0.165930955191,0.166740027672,0.166288065725,0.165879769966,0.167996327821,6,2
0,9,0,4317,0.167236595916,0.167085243814,0.16737458067,0.166457338671,0.165300178262,0.166546062667,3,2
0,9,0,1268,0.16733591513,0.166323416873,0.166357988717,0.166618739302,0.166224798578,0.167139141401,6,2
0,9,0,5257,0.167298822486,0.167006989964,0.167069136744,0.165931676664,0.165017049036,0.167676325106,6,2
0,9,0,5775,0.16709272285,0.16684335673,0.166883706369,0.166090220227,0.165947858862,0.167142134963,6,2
0,9,0,3976,0.166944144868,0.166366582199,0.166679013236,0.166393921382,0.166933464074,0.16668287424,5,2
0,9,0,674,0.167343683107,0.166738928488,0.167508976574,0.165959512257,0.165566428886,0.166882470688,3,2
0,9,0,5339,0.167054093472,0.167032911373,0.166630513624,0.166202107691,0.165912873335,0.167167500505,6,2
0,9,0,1756,0.166467122789,0.166538863769,0.166163731867,0.167607161312,0.165205128269,0.168017991995,6,2
0,9,0,3069,0.167104891792,0.166062053604,0.166692691756,0.166176521871,0.166521987333,0.167441853644,6,2
0,9,0,4123,0.167135056197,0.167142777655,0.167497111681,0.166306191754,0.165317502965,0.166601359747,3,2
0,9,0,802,0.16723153193,0.167087453318,0.167370157568,0.166308234832,0.165293318587,0.166709303766,3,2
0,9,0,3650,0.166467122789,0.166538863769,0.166163731867,0.167607161312,0.165205128269,0.168017991995,6,2
0,9,0,5888,0.167151646631,0.166383329245,0.166407653458,0.166355836376,0.166043437807,0.167658096484,6,2
0,9,0,4701,0.167000863379,0.166600998475,0.166919195751,0.165978584574,0.165680207538,0.167820150283,6,2
0,9,0,4075,0.166840719103,0.165995611501,0.165506996052,0.16655425671,0.165485600269,0.169616816365,6,2
0,9,0,3401,0.167891577084,0.165076476188,0.167310512031,0.165945770828,0.16545631984,0.168319344029,6,2
0,9,0,3803,0.167145478685,0.166510801746,0.166165135462,0.166531348316,0.166081654455,0.167565581336,6,2
0,9,0,2594,0.166964536435,0.166001085463,0.166656144061,0.166378648609,0.166922235407,0.167077350024,5,2
0,9,0,1435,0.166175752984,0.165468121725,0.165655335081,0.166440835472,0.164978339562,0.171281615176,6,2
0,9,0,1682,0.166358823167,0.166720508825,0.166258446935,0.167314694273,0.165216222699,0.168131304102,6,2
0,9,0,5175,0.166842626901,0.167191736767,0.165961544505,0.166889057681,0.165701480044,0.167413554102,6,2
0,9,0,1768,0.166193899175,0.16643184967,0.167182921406,0.167309385168,0.165164983264,0.167716961316,6,2
0,9,0,4953,0.16792560954,0.16708621325,0.167000753938,0.166927515715,0.165751112647,0.165308794911,1,2
0,9,0,5516,0.166657125281,0.166360888446,0.165740049331,0.166299098543,0.165461310955,0.169481527444,6,2
0,9,0,4500,0.167941035153,0.167033364908,0.167023657079,0.166948458695,0.165767938525,0.16528554564,1,2
0,9,0,5956,0.167120640546,0.166601665762,0.166808146624,0.166196865671,0.166082458371,0.167190223026,6,2
0,9,0,5449,0.16790816049,0.166908241447,0.167019889891,0.166888104519,0.165874591312,0.165401012341,1,2
0,9,0,3668,0.16684117048,0.167192374161,0.165943926272,0.166849637916,0.165696432203,0.167476458968,6,2
0,9,0,800,0.167146644645,0.166621363245,0.167889711518,0.166139230566,0.16516312242,0.167039927605,3,2
% 
% 
%